code: def generate_dynamo_fx_repro_string(
      gm,
      args,
      compiler_name,
      check_accuracy=False,
      *,
      stable_output=False,
      save_dir=None,
      command="run",
  ):
      """
      Generate a repro string for backend-agnostic minified version.
      """
  
      model_str = NNModuleToString.convert(gm)
  
      # TODO: Figure out why torch.compile'd hash isn't work on this codepath
      writer = InputWriter(save_dir, stable_hash=True)
      for placeholder, arg in zip(fx_placeholder_targets(gm), args):
          if isinstance(arg, (int, torch.SymInt)):
              writer.symint(placeholder, arg)
          elif isinstance(arg, torch.Tensor):
              # TODO: improve these names with FQN
              writer.tensor(placeholder, arg)
          else:
              raise TypeError(
                  f"arg is neither SymInt/int nor torch.Tensor, {arg}"
              )
      load_args = "\n".join(writer.lines())
  
      return textwrap.dedent(
          f"""
  from math import inf
  import torch
  from torch import tensor, device
  import torch.fx as fx
  import torch._dynamo
  from torch._dynamo.testing import rand_strided
  from torch._dynamo.debug_utils import run_fwd_maybe_bwd
  
  {generate_config_string(stable_output=stable_output)}
  
  {extra_imports}
  
  {model_str}
  mod = Repro()
  
  {load_args}
  
  if __name__ == '__main__':
      from torch._dynamo.repro.after_dynamo import run_repro
      run_repro(mod, load_args, accuracy={check_accuracy!r}, command={command!r},
          save_dir={save_dir!r}, autocast={torch.is_autocast_enabled()!r}, backend={compiler_name!r})
  """
      )
  
imports: import argparse
  import copy
  import functools
  import logging
  import os
  import shutil
  import sys
  import textwrap
  from importlib import import_module
  from typing import Union
  import torch
  import torch.fx
  from torch._dynamo.debug_utils import AccuracyError, backend_accuracy_fails, BUCK_CMD_PREFIX, BuckTargetWriter, extra_imports, generate_config_string, helper_for_dump_minify, InputReader, InputWriter, minifier_dir, NNModuleToString, NopInputReader, run_fwd_maybe_bwd, same_two_models
  from torch.fx.experimental.symbolic_shapes import fx_placeholder_targets
  from torch.hub import tqdm
  from ..None import config
  from ..backends.registry import lookup_backend, register_debug_backend
  from ..debug_utils import clone_inputs_retaining_gradness
label_desc: Use image node_id 2 for calling a global function with example usage: generate_dynamo_fx_repro_string(gm, args, compiler_name, check_accuracy) and returns: textwrap